Evidence map›Paper›PMID 16845063›Full record

ArticleNucleic acids research2006

TFBScluster web server for the identification of mammalian composite regulatory elements.

Ian J Donaldson, Berthold Göttgens

Abstract read
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ian J DonaldsonDepartment of Haematology, Cambridge Institute for Medical Research, University of Cambridge, Hills Road, Cambridge, CB2 2XY, UK.
Berthold Göttgens

Funding

Medical Research Council G0800784
6 · The paper itself

Abstract

Identification of transcriptional regulatory elements represents a critical step in our ability to reconstruct transcriptional regulatory networks from gene expression profiling datasets. To facilitate computational identification of candidate gene regulatory elements from whole genome sequences, we have developed the TFBScluster web server that integrates several tools for the genome-wide identification and subsequent characterization of transcription factor binding site clusters that are conserved in multiple mammalian species. Either the human or mouse genomes can be used as the reference sequence with direct links from the search results to the ENSEMBL and UCSC genome browsers. Moreover, TFBScluster provides seamless integration of transcription factor binding site searches with genome annotation and gene expression profiling data, to allow prioritising computational predictions for subsequent experimental validation. TFBScluster is publicly available at http://hscl.cimr.cam.ac.uk/TFBScluster_genome_portal.html.

Indexed as

Regulatory Elements, TranscriptionalSoftwareAnimalsBase SequenceBinding SitesGene Expression ProfilingGenomicsHumansInternetMiceSequence AlignmentTranscription FactorsUser-Computer InterfaceTranscription Factors

Identifiers

PMID16845063
PMCPMC1538905

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.